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Global Economic Divergence and Portfolio Capital Flows to Emerging Markets

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Abstract

This paper studies the role of global and regional variations in economic activity and policy in developed world in driving portfolio capital flows (PCF) to emerging markets (EMs) in a Factor Augmented Vector Autoregressive (FAVAR) framework. Results suggest that PCFs to EMs depend mainly on economic activity at the global level and monetary policy in America, positively on the former and negatively on the latter. In contrast, economic activity and policy shocks in Europe and Asia contribute significantly less to variations in PCFs to EMs. Hence, PCFs are driven by not only common shocks across all developed countries, but also variations in specific regions. This implies that economic divergence in the developed world can have significant effects on EMs via PCFs.

Suggested Citation

  • Zeyyad Mandalinci & Haroon Mumtaz, 2015. "Global Economic Divergence and Portfolio Capital Flows to Emerging Markets," Working Papers 757, Queen Mary University of London, School of Economics and Finance.
    • Handle: RePEc:qmw:qmwecw:wp757
    Note: A more recent version of this paper can be found on the author's homepage sites.google.com/site/zmandalinci/home.
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    1. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    2. Forbes, Kristin J. & Warnock, Francis E., 2012. "Capital flow waves: Surges, stops, flight, and retrenchment," Journal of International Economics, Elsevier, vol. 88(2), pages 235-251.
    3. Chuhan, Punam & Claessens, Stijn & Mamingi, Nlandu, 1998. "Equity and bond flows to Latin America and Asia: the role of global and country factors," Journal of Development Economics, Elsevier, vol. 55(2), pages 439-463, April.
    4. M. Ayhan Kose & Christopher Otrok & Eswar Prasad, 2012. "Global Business Cycles: Convergence Or Decoupling?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 511-538, May.
    5. Diebold, Francis X. & Li, Canlin & Yue, Vivian Z., 2008. "Global yield curve dynamics and interactions: A dynamic Nelson-Siegel approach," Journal of Econometrics, Elsevier, vol. 146(2), pages 351-363, October.
    6. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    7. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E Terrones, 2013. "Global House Price Fluctuations: Synchronization and Determinants," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 119-166.
    8. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148 Elsevier.
    9. Haroon Mumtaz & Paolo Surico, 2009. "The Transmission of International Shocks: A Factor-Augmented VAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 71-100, February.
    10. Mody, Ashoka & Taylor, Mark P & Kim, Jung Yeon, 2001. "Modelling Fundamentals for Forecasting Capital Flows to Emerging Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 201-216, July.
    11. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2014. "The transmission of international shocks to the UK. Estimates based on a time-varying factor augmented VAR," Journal of International Money and Finance, Elsevier, vol. 46(C), pages 1-15.
    12. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
    13. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    14. Fernandez-Arias, Eduardo & Montiel, Peter J, 1996. "The Surge in Capital Inflows to Developing Countries: An Analytical Overview," World Bank Economic Review, World Bank Group, vol. 10(1), pages 51-77, January.
    15. Edison, Hali J. & Warnock, Francis E., 2008. "Cross-border listings, capital controls, and equity flows to emerging markets," Journal of International Money and Finance, Elsevier, vol. 27(6), pages 1013-1027, October.
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    Cited by:

    1. Zeyyad Mandalinci, 2015. "Effects of Monetary Policy Shocks on UK Regional Activity: A Constrained MFVAR Approach," Working Papers 758, Queen Mary University of London, School of Economics and Finance.
    2. Grigoraş, Veaceslav & Stanciu, Irina Eusignia, 2016. "New evidence on the (de)synchronisation of business cycles: Reshaping the European business cycle," International Economics, Elsevier, vol. 147(C), pages 27-52.

    More about this item

    Keywords

    Portfolio capital flows; Bayesian analysis; Factor model; VAR; Emerging markets;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements

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